Proteomics

Dataset Information

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MALDI rat liver anticancer drug spiked-in dataset (imzML)

ABSTRACT: For the MALDI-MSI experiment, we selected 12 different drugs. The drugs were purchased from the LC Laboratories (Woburn, MA; CAS numbers: dabrafenib: 1195765-45-7, dasatinib: 302962-49-8, erlotinib: 183321-74-6, gefitinib: 184475-35-2, imatinib: 152459-95-5, lapatinib: 388082-78-8, pazopanib: 444731-52-6, sorafenib: 284461-73-0, sunitinib: 557795-19-4, trametinib: 871700-17-3, vatalanib: 212141-54-3) and from SelleckChem (Munich, Germany; CAS numbers: ipratropium: 60205-81-4) with >99% purity and were dissolved in methanol (MeOH, (Chromasolv Plus for HPLC) (Sigma-Aldrich, Steinheim, Germany) at 10 mg/mL concentration. These stock solutions were further diluted with 50% MeOH and five mixtures were generated, each containing four different drug compounds. The spreadsheet in Supporting Information summarizes the composition of the five drug mixtures. A 5 mg/mL solution of α-cyano-4-hydroxycinnamic acid (CHCA, Sigma-Aldrich) dissolved in 50% MeOH containing 0.1% trifluoroacetic acid (TFA, Sigma-Aldrich, Steinheim, Germany) was used as matrix solution.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Rattus Norvegicus (rat)

TISSUE(S): Liver

SUBMITTER: Jonatan Eriksson  

LAB HEAD: Peter Horvatovich

PROVIDER: PXD016146 | Pride | 2019-11-06

REPOSITORIES: Pride

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Dataset's files

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Action DRS
5mixes_onratliver_50micron.MALDIPos Other
5mixes_onratliver_50micron.ibd Other
5mixes_onratliver_50micron.imzML Other
5mixes_onratliver_50micron.raw Raw
ground-truth-compounds.txt Txt
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Publications

Clusterwise Peak Detection and Filtering Based on Spatial Distribution To Efficiently Mine Mass Spectrometry Imaging Data.

Eriksson Jonatan O JO   Rezeli Melinda M   Hefner Max M   Marko-Varga Gyorgy G   Horvatovich Peter P  

Analytical chemistry 20190823 18

Mass spectrometry imaging (MSI) has the potential to reveal the localization of thousands of biomolecules such as metabolites and lipids in tissue sections. The increase in both mass and spatial resolution of today's instruments brings on considerable challenges in terms of data processing; accurately extracting meaningful signals from the large data sets generated by MSI without losing information that could be clinically relevant is one of the most fundamental tasks of analysis software. Ion i  ...[more]

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